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The future of data: A 5-pillar approach to modern data management

CIO

By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. Every SQL query, script and data movement configuration must be treated as code, adhering to modern software development methodologies and following DevOps and SRE best practices.

Data 167
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CDH Users: If you have done impactful things with data please share how what and why

CTOvision

Successfully deploying Hadoop as a core component of a mission-critical or business environment that improves data visibility and analysis across a broad range of sources, bolsters cyber-security and combats fraud with better detection and analysis, or maximizes infrastructure and human capital through improved operational efficiencies.

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Which Government, Non-Profit and NGO Have Big Data/CDH Lessons Learned To Share?

CTOvision

Successfully deploying Hadoop as a core component of a mission-critical or business environment that improves data visibility and analysis across a broad range of sources, bolsters cyber-security and combats fraud with better detection and analysis, or maximizes infrastructure and human capital through improved operational efficiencies.

Big Data 105
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Making the Best of a New Winning Relationship – Robotic Process Automation & Business Process Management

Newgen Software

To deploy Robotic Process Automation (RPA) system or Business Process Management (BPM) – that is the question. Often in business transformation strategy decisions, organizations put RPA and BPM against each other, rather than think of them as complementary.